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Safely perform sandboxed file listing, reading, moving, and writing operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "urirun-connector-mcp-filesystem" yet — see the docs or source repo.
List the files and subdirectories under /workspace/reports and return them by name.
A list of files and folders in the directory for follow-up reading or organization.
Read the contents of /workspace/config/app.json and show its file size and modified time.
The file contents plus basic metadata such as size and timestamps.
In dry-run mode, move /workspace/tmp/draft.txt to /workspace/docs/final.txt and write an update note.
A preview of the planned file changes without actually modifying any files.
Developers or DevOps users can batch file listing, reading, moving, and writing inside a restricted sandbox to reduce the risk of accidental changes to real environment files.
When changing file contents or locations, users can first use dry-run to preview the planned actions before executing them for real.
When connected to an agent as an MCP tool, it enables filesystem access through query and command routes while maintaining sandbox isolation.
It is a sandboxed filesystem connector for urirun/ifURI that supports file operations such as list, read, stat, move, and write through query and command routes.
Yes. The description explicitly mentions dry-run, which can be used to preview file operation results without actually writing or moving files.
The provided information only states that it is a filesystem connector for urirun/ifURI. For exact installation steps, runtime requirements, or configuration details, see the source repository.
Access, search, and safely edit sandboxed files with structure management.
Manage, read, organize, and modify files through natural language commands.
Safely manage files, Docker, and Git workflows for development and operations.
Perform file operations, search, and batch processing through MCP automation.
Enhanced filesystem MCP tool for searching, reading, editing, deleting, and running commands.
Provide AI assistants controlled local file access and command execution with approval safeguards.